Job Specifications
At TruStage, we're on a mission to make a brighter financial future accessible to everyone. We put people first, and work hand in hand with employees and customers to create a diverse and inclusive environment. Passionate about building insurance, investment and technology solutions, we push the boundaries of what's possible. We need you to help us shape what's next. You'll be encouraged to share your experiences, ideas and skills to help others take control of their financial future.
Join a team that has received numerous awards for being a top place to work: TruStage awards and recognition
Job Summary
The Director of Artificial Intelligence (AI) is a senior enterprise leader responsible for shaping and executing the corporate AI strategy to deliver measurable business outcomes. Reporting to the Vice President of Technology Innovation, this role drives the discovery, development, scaling, and adoption of AI-powered solutions across the enterprise, ensuring all initiatives are strategically aligned, technically sound, and responsibly governed.
Partnering closely with business leaders, enablement teams, and technology stakeholders, the Director identifies high-value AI opportunities, translates emerging capabilities into tangible business applications, and champions enterprise-wide adoption. This role oversees a multidisciplinary team of data scientists and engineers, vendor partnerships, and enterprise AI platforms while embedding sustainable AI solutions within core business operations.
The ideal candidate combines deep AI/ML expertise with strategic vision, business acumen, and the ability to influence diverse audiences, advancing operational excellence, responsible AI practices, and AI literacy across the organization.
Job Responsibilities
Strategy and Roadmap
Evolve and communicate the enterprise AI strategy in collaboration with business, technology, and risk stakeholders.
Proactively identify, shape, and evaluate high-value AI opportunities with clear ROI and strategic relevance.
Translate emerging AI capabilities into tangible, scalable business applications that create competitive advantage.
Prioritize and sequence AI initiatives to maximize enterprise value, alignment, and adoption.
Delivery and Value Realization
Direct the design, development, deployment, and integration of AI products and capabilities into core business workflows to ensure adoption and sustained value.
Define and track key performance indicators (KPIs) for AI programs, including ROI, adoption rates, productivity improvements, and customer satisfaction.
Establish continuous improvement processes to monitor, retrain, and optimize AI models and solutions post-deployment.
Ensure AI capabilities are scalable, reliable, and embedded effectively into operational processes.
Leadership and Team Development
Build, lead, and mentor a multidisciplinary team of AI professionals, including data scientists, engineers, governance specialists, and external vendors.
Foster a high-performance culture that emphasizes innovation, collaboration, and responsible AI development.
Manage strategic partnerships and vendor relationships supporting AI product delivery and platform evolution.
Engagement, Education and Change Management
Partner with business and enablement teams to drive AI literacy and upskill associates through structured training and engagement programs.
Lead change management activities facilitating AI adoption across diverse business units.
Inspire and influence stakeholders by demonstrating the art of the possible with AI, translating complex capabilities into relatable, actionable business opportunities.
Governance, Ethics and Compliance
Implement and maintain AI governance frameworks that address ethical, legal, regulatory, and security considerations.
Develop and oversee AI risk management processes to ensure compliance with evolving regulatory requirements and corporate standards.
The above statement of duties is not intended to be all inclusive and other duties will be assigned from time to time.
Job Requirements
Bachelor's degree in computer science, data science, engineering, or related technical discipline, or equivalent combination of education and/or related professional work experience.
12+ years of progressive experience in data, analytics, or AI leadership roles, with at least 5 years in senior management driving enterprise-scale AI initiatives.
Deep expertise in modern AI/ML techniques, including predictive analytics, prescriptive modeling, LLMs/generative AI, and agentic applications, with demonstrated success in operationalizing AI at scale.
Proven track record delivering AI-enabled solutions that drive measurable business outcomes, improve operational efficiency, and create competitive advantage.
Experience defining and executing AI roadmaps aligned to business strategy, including prioritization, ROI measurement, and value realization.
Hands-on knowledge of MLOps, AIOps, cloud-native AI deployments, hy